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Agent Skill · 开发

review-buying-advisor(审查购买顾问)

review-buying-advisor 用于补充开发相关能力,适合在 OpenClaw 中需要让 Agent 承接开发相关任务时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

review-buying-advisor 是开发类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为只读;许可证为 MIT-0,第三方扫描已通过,按安装量在开发类的 21,746 个 Skill 里排第 5,278。

总安装 6,610周安装 270GitHub Stars 公开资料未说明下载 2,117核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
0.1.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:review-buying-advisor(审查购买顾问)
来源仓库:https://github.com/harrylabsj/review-buying-advisor
安装命令:
openclaw skills install review-buying-advisor
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install review-buying-advisor

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

通过定位预期列表、阅读可访问的公共用户评论以及将证据转化为产品名称和平台来分析产品。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install review-buying-advisor;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

review-buying-advisor 怎么安装?

在终端执行 openclaw skills install review-buying-advisor。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

review-buying-advisor 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

review-buying-advisor 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

review-buying-advisor 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

review-buying-advisor 用的人多吗?

公开数据是累计安装 6,610 次,近一周安装 270 次,下载 2,117 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

review-buying-advisor 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理开发类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
review-buying-advisor

审查购买顾问 · 本页

6,610—只读MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
review-buying-advisor
description
Analyze a product from a product name plus platform by locating the intended listing, reading public user reviews when accessible, and turning the evidence into a practical buying recommendation. Use when the user asks whether a product is worth buying on Tmall, Taobao, JD.com, Pinduoduo, Amazon, Best Buy, or similar platforms; asks for help reading reviews; wants a real user-feedback summary; wants recurring complaints, hidden risks, pros and cons, buying advice, who the product is suitable for, or how to avoid buying mistakes before ordering. Especially relevant for requests like "值不值得买", "帮我看评论", "看看口碑", "有什么坑", "适不适合买", or "帮我避坑".

Review Buying Advisor

Turn platform review evidence into a practical buying recommendation.

Use this skill when the input is a product name plus platform and the user wants help deciding whether to buy.

This skill operates in two modes:

  • Mode 1: Review-accessible mode — the platform exposes enough public review content to support analysis.
  • Mode 2: Review-limited mode — the platform blocks, weakens, or hides review content, so only a limited or inconclusive answer is possible.

Read these references as needed:

  • references/product-identification.md when the product or variant is unclear
  • references/review-sampling.md before collecting review evidence
  • references/review-signals.md when judging strengths, risks, and buyer fit
  • references/platform-notes.md when platform review quality may affect interpretation
  • references/category-playbooks.md when category-specific priorities matter
  • references/failure-modes.md when evidence is sparse, mixed, or inaccessible
  • references/output-patterns.md when preparing the final answer
  • references/examples.md when examples would help calibrate tone or structure

Workflow

  1. Identify the product.

- Accept a product name plus platform. - Match the likely listing by brand, model, category, and variant cues. - If the product is ambiguous, ask one short clarifying question. - Do not guess across multiple plausible products or variants.

  1. Check review accessibility.

- Try to access public review content on the specified platform. - Decide which mode applies: - Mode 1 if enough public review content is accessible. - Mode 2 if review content is blocked, too weak, or too incomplete.

  1. If Mode 1, analyze review evidence.

- Use a representative sample rather than only the first visible comments. - Include positive, negative, mixed, and recent reviews when possible. - Prefer specific reviews over generic praise or blame. - Downweight generic praise, generic criticism, shipping-only comments, and suspiciously promotional wording. - Group signals into useful themes. - Separate repeated issues from isolated complaints. - Weigh severity as well as frequency.

  1. If Mode 2, do not fake completion.

- State that public review evidence is not sufficiently accessible. - Explain the limitation briefly. - Give only a limited conclusion when still useful. - Do not pretend to have validated real review sentiment.

  1. Give the final answer.

Cover: - verdict - what evidence was actually available - buyer fit when supportable - main positives and risks when supportable - what to verify before buying - confidence

Output

Use this structure unless the user asks for something else.

Mode 1 output

Use when public review evidence is available.

Overall Verdict

Choose one:

  • Recommend
  • Recommend with caveats
  • Depends on use case
  • Not recommended
  • Not enough evidence for a strong recommendation
Why

2-4 bullets with the strongest evidence.

Best For

Who is most likely to be satisfied.

Main Positives

Most credible repeated strengths.

Main Risks

Most important risks, including repeated issues or severe but less frequent ones.

Watch Before Buying

What the buyer should verify before ordering.

Final Advice

A direct recommendation in plain language.

Confidence

High / Medium / Low, with a brief reason.

Mode 2 output

Use when public review evidence is not sufficiently accessible.

Overall Verdict

Usually:

  • Not enough evidence for a strong recommendation
  • Depends on use case
Why

Explain what was and was not accessible.

Current Limitation

State whether the issue is platform blocking, weak public text, ambiguous product matching, or incomplete review visibility.

Watch Before Buying

State what remains unverified.

Final Advice

Give a cautious conclusion without pretending the reviews were validated.

Confidence

Usually Low.

Quality bar

Do:

  • lead with the verdict
  • use representative evidence
  • explain trade-offs clearly
  • say who the product is for
  • lower confidence when evidence is weak

Do not:

  • summarize without recommending
  • rely on only one review slice
  • overreact to one dramatic review
  • overstate certainty
  • invent facts not supported by visible evidence

Limitation handling

If the product cannot be identified confidently:

  • ask one short clarifying question

If the platform does not expose enough public review content:

  • switch to Mode 2
  • state the limitation briefly
  • keep confidence low

If public review evidence is sparse or mixed but still partially usable:

  • stay in Mode 1 only if a limited review-based judgment is still supportable
  • lower confidence
  • narrow the claim

If reviews may mix multiple variants:

  • mention that risk
  • avoid overly specific claims unless the variant is clear

平台分布

OpenClaw

76.51%
按下载量换算1,620

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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